library(sf)
library(dplyr)
library(ggplot2)
library(patchwork)
library(SpatialData)
library(SpatialData.data)
library(SpatialData.plot)MERFISH
preamble
(sd <- MouseBrainMERFISH())class: SpatialData
- images(1):
- rasterized (1,522,575)
- labels(0):
- points(1):
- single_molecule (3714642)
- shapes(2):
- anatomical (6,polygon)
- cells (2389,circle)
- tables(1):
- table (268,2389) [cells]
coordinate systems(1):
- global(4): rasterized anatomical cells single_molecule
analysis
feature_key(p <- point(sd))[1] "cell_type"
data(p) |>
distinct(cell_type) |>
pull(cell_type)[1] "VISp_wm" "VISp_V" "VISp" "VISp_VI" "VISp_I"
[6] "VISp_II/III" "VISp_IV" "outside_VISp"
filter(p, cell_type == "VISp_V")class: SpatialDataPoint
count: 589648
data(3): cell_type __null_dask_index__ geometry
plotSpatialData() +
plotImage(sd) +
plotPoint(sd, n=222, key="VISp_V", col="cyan")plotSpatialData() +
plotImage(sd) +
plotShape(sd, linewidth=1, fill=NA, col="white") + # regions
plotPoint(sd, size=0.2, n=4e3, colour="cell_type") + # transcripts
guides(col=guide_legend(override.aes=list(size=2))) +
scale_color_manual(values=rainbow(8))# downsample transcripts for speed
sp <- sd
p <- point(sp)
p <- p[sample(length(p), 2e4)]
point(sp) <- p
# query polygonal region + 10% expansion
s <- shape(sd, "anatomical")
ps <- lapply(seq_along(s), \(.) {
roi <- st_buffer(st_as_sf(data(s[., ])), 0.1)
sp <- crop(sp, roi)
plotSpatialData() +
plotImage(sp) + ggtitle(paste0("ROI", .)) +
plotShape(sp, fill=NA, col="gold", size=0.8) +
plotPoint(sp, i=1, n=2e3, col="turquoise", size=0.2)
})
wrap_plots(ps, nrow=2) & theme_void() & theme(plot.title=element_text(hjust=0.5))appendix
session
sessionInfo()R version 4.6.0 (2026-04-24)
Platform: aarch64-apple-darwin23
Running under: macOS Sequoia 15.6.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: Europe/Madrid
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] SpatialData.plot_0.99.6 SpatialData.data_0.99.6 SpatialData_0.99.35
[4] patchwork_1.3.2 ggplot2_4.0.3 dplyr_1.2.1
[7] sf_1.1-1
loaded via a namespace (and not attached):
[1] DBI_1.3.0 bitops_1.0-9
[3] RBGL_1.89.0 httr2_1.2.2
[5] anndataR_1.3.0 rlang_1.2.0
[7] magrittr_2.0.5 Rarr_2.1.7
[9] otel_0.2.0 matrixStats_1.5.0
[11] e1071_1.7-17 compiler_4.6.0
[13] RSQLite_2.4.6 dir.expiry_1.21.0
[15] paws.storage_0.9.0 png_0.1-9
[17] fftwtools_0.9-11 vctrs_0.7.3
[19] pkgconfig_2.0.3 wk_0.9.5
[21] crayon_1.5.3 fastmap_1.2.0
[23] dbplyr_2.5.2 XVector_0.53.0
[25] paws.common_0.8.9 rmarkdown_2.31
[27] graph_1.91.0 purrr_1.2.2
[29] bit_4.6.0 xfun_0.57
[31] cachem_1.1.0 grumpy_0.1.0
[33] jsonlite_2.0.0 blob_1.3.0
[35] DelayedArray_0.39.1 uuid_1.2-2
[37] tweenr_2.0.3 jpeg_0.1-11
[39] tiff_0.1-12 parallel_4.6.0
[41] R6_2.6.1 RColorBrewer_1.1-3
[43] reticulate_1.46.0 GenomicRanges_1.65.0
[45] assertthat_0.2.1 Rcpp_1.1.1-1.1
[47] Seqinfo_1.3.0 SummarizedExperiment_1.43.0
[49] knitr_1.51 R.utils_2.13.0
[51] IRanges_2.47.0 Matrix_1.7-5
[53] tidyselect_1.2.1 duckspatial_1.0.0
[55] rstudioapi_0.18.0 dichromat_2.0-0.1
[57] abind_1.4-8 EBImage_4.55.0
[59] curl_7.1.0 lattice_0.22-9
[61] tibble_3.3.1 Biobase_2.73.1
[63] withr_3.0.2 S7_0.2.2
[65] evaluate_1.0.5 units_1.0-1
[67] proxy_0.4-29 polyclip_1.10-7
[69] BiocFileCache_3.3.0 pillar_1.11.1
[71] filelock_1.0.3 MatrixGenerics_1.25.0
[73] KernSmooth_2.23-26 stats4_4.6.0
[75] generics_0.1.4 RCurl_1.98-1.18
[77] nanoarrow_0.8.0 S4Vectors_0.51.1
[79] scales_1.4.0 class_7.3-23
[81] glue_1.8.1 tools_4.6.0
[83] ggnewscale_0.5.2 locfit_1.5-9.12
[85] grid_4.6.0 SingleCellExperiment_1.35.0
[87] duckdb_1.5.2 basilisk_1.25.0
[89] ggforce_0.5.0 cli_3.6.6
[91] rappdirs_0.3.4 S4Arrays_1.13.0
[93] arrow_24.0.0 geoarrow_0.4.2
[95] gtable_0.3.6 R.methodsS3_1.8.2
[97] digest_0.6.39 BiocGenerics_0.59.0
[99] classInt_0.4-11 SparseArray_1.13.2
[101] ZarrArray_1.1.0 htmlwidgets_1.6.4
[103] farver_2.1.2 memoise_2.0.1
[105] htmltools_0.5.9 R.oo_1.27.1
[107] lifecycle_1.0.5 bit64_4.8.0
[109] MASS_7.3-65